001     303194
005     20250801103332.0
024 7 _ |a 10.1016/j.xpro.2025.103980
|2 doi
024 7 _ |a pmid:40711871
|2 pmid
037 _ _ |a DKFZ-2025-01545
041 _ _ |a English
082 _ _ |a 600
100 1 _ |a Cerrizuela, Santiago
|0 P:(DE-He78)f1b5bf007f02d6de3658fe18c17eab9f
|b 0
|e First author
245 _ _ |a Protocol update to: High-throughput scNMT protocol for multiomics profiling of single cells from mouse brain and pancreatic organoids.
260 _ _ |a Cambridge, MA
|c 2025
|b Cell Press
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1754037174_19096
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:A290#LA:A290#
520 _ _ |a Single-cell nucleosome, methylome, and transcriptome (scNMT) sequencing is a recently developed method that allows multiomics profiling of single cells. In this scNMT protocol, we describe profiling of cells from mouse brain and pancreatic organoids, using liquid handling platforms to increase throughput from 96-well to 384-well plate format. Our approach miniaturizes reaction volumes and incorporates the latest Smart-seq3 protocol to obtain higher numbers of detected genes and genomic DNA (gDNA) CpGs per cell. We outline normalization steps to optimally distribute per-cell sequencing depth. For complete details on the use and execution of this protocol, please refer to Kremer et al. and other works.1,2,3,4,5,6,7 This protocol is an update to Cerrizuela et al.7.
536 _ _ |a 311 - Zellbiologie und Tumorbiologie (POF4-311)
|0 G:(DE-HGF)POF4-311
|c POF4-311
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a Bioinformatics
|2 Other
650 _ 7 |a Cell Biology
|2 Other
650 _ 7 |a Genomics
|2 Other
650 _ 7 |a Molecular Biology
|2 Other
650 _ 7 |a Neuroscience
|2 Other
650 _ 7 |a RNA-seq
|2 Other
650 _ 7 |a Sequence analysis
|2 Other
650 _ 7 |a Single Cell
|2 Other
700 1 _ |a Kaya, Oguzhan
|0 P:(DE-He78)6d17c3c17f328bb0390e292d55dbd0aa
|b 1
|e First author
700 1 _ |a Kremer, Lukas P M
|0 P:(DE-He78)551385d41ee0ab6f659ef4675eb01184
|b 2
700 1 _ |a Sarvari, Andrea
|0 P:(DE-He78)b3087a9d62a31d5a9bf92e5f4ca57c61
|b 3
700 1 _ |a Ellinger, Tobias
|0 P:(DE-He78)1ae4ce3dec6e0206e452ba0068da9d15
|b 4
700 1 _ |a Straub, Jannes
|0 P:(DE-He78)ace776c118ec6865ad5fc6e0990538ed
|b 5
700 1 _ |a Brunken, Jan
|0 P:(DE-He78)ae499fa5f2cb516077d2a80afe84fa2d
|b 6
700 1 _ |a Sanz-Morejon, Andres
|0 P:(DE-He78)6b9cf44cb2178b01d781165881b5ea79
|b 7
700 1 _ |a Korkmaz, Aylin
|0 P:(DE-He78)125cb4218699cb19963e018e98142a02
|b 8
700 1 _ |a Martin-Villalba, Ana
|0 P:(DE-He78)9f92f3ae36d92f7d6f070602e0e8585c
|b 9
|e Last author
773 _ _ |a 10.1016/j.xpro.2025.103980
|g Vol. 6, no. 3, p. 103980 -
|0 PERI:(DE-600)3053335-1
|n 3
|p 103980
|t STAR Protocols
|v 6
|y 2025
|x 2666-1667
909 C O |p VDB
|o oai:inrepo02.dkfz.de:303194
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)f1b5bf007f02d6de3658fe18c17eab9f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)6d17c3c17f328bb0390e292d55dbd0aa
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)551385d41ee0ab6f659ef4675eb01184
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)b3087a9d62a31d5a9bf92e5f4ca57c61
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)1ae4ce3dec6e0206e452ba0068da9d15
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)ace776c118ec6865ad5fc6e0990538ed
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)ae499fa5f2cb516077d2a80afe84fa2d
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)6b9cf44cb2178b01d781165881b5ea79
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)125cb4218699cb19963e018e98142a02
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)9f92f3ae36d92f7d6f070602e0e8585c
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-311
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Zellbiologie und Tumorbiologie
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2023-04-12T14:51:27Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2023-04-12T14:51:27Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Anonymous peer review
|d 2023-04-12T14:51:27Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-31
915 _ _ |a WoS
|0 StatID:(DE-HGF)0112
|2 StatID
|b Emerging Sources Citation Index
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-31
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-31
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-31
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-31
920 2 _ |0 I:(DE-He78)A290-20160331
|k A290
|l A290 Molekulare Neurobiologie
|x 0
920 1 _ |0 I:(DE-He78)A290-20160331
|k A290
|l A290 Molekulare Neurobiologie
|x 0
920 0 _ |0 I:(DE-He78)A290-20160331
|k A290
|l A290 Molekulare Neurobiologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)A290-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21